Identification of fake news using generative artificial intelligence

Prof. Witold Abramowicz, advisor to the rector for artificial intelligence and digital transformation, presented issues related to automatic identification of fake news using generative artificial intelligence during the Polish Security Congress – Total Security. The event was attended by several hundred representatives of government, local government, business and science.

Generative curiosity. How is generative AI changing creativity and innovation?

The full version of the inaugural lecture by Prof. Marek Kowalkiewicz entitled “Generative Curiosity. How does generative AI change the face of creativity and innovation?” has been published in open access on the website of the Poznań University of Economics and Business Press. The lecture focuses on the importance of generative artificial intelligence (AI) for human creativity and innovation.

First place in an international competition in the field of information credibility

A team of scientists from the Department of Information Systems at the Poznań University of Economics and Business took part in the “CheckThat! 2024” organized as part of the international conference CLEF (Conference and Labs of the Evaluation Forum). The goal was to verify the robustness of popular text classification approaches used for credibility assessment problems.

OpenFact is again the most effective in detecting fake news

The National Center for Research and Development has completed the evaluation of the results of the second phase of the INFOSTRATEG program. The evaluation included the results achieved by three competing teams whose task is to develop solutions for detecting fake news using artificial intelligence.

Automatic quality assessment of articles in multilingual Wikipedia and identification of its important information sources on various topics

An open scientific seminar of the Institute of Informatics and Quantitative Economics on automatic quality assessment of articles in multilingual Wikipedia and identification of important sources of its information on various topics was held at the Poznań University of Economics and Business. During the seminar, Dr. Włodzimierz Lewoniewski discussed the methods and tools used to analyze and evaluate content in a popular multilingual encyclopedia and ways of identifying and assessing … Read More

Presentation at the CLEF 2023 conference

Members of our department, Ewelina Księżniak and Marcin Sawiński, took part in the 14th edition of the international CLEF conference, which is devoted to natural language processing and information retrieval. During this event, our scientists presented a method for detecting check-worthy claims, which achieved the best result in a competition organized by one of the workshops – CheckThat!Lab. The workshop and competition is devoted to detecting fake news using artificial … Read More

Assessing the quality of student essays written by ChatGPT

The 10th International Scientific Conference “Knowledge and Information Technologies in Creating Entrepreneurship” and the 5th Congress of Business Informatics were held on October 5-6, 2023. During this event, representatives of our Department presented research results on assessing the quality of student essays written by ChatGPT. This year’s edition of the conference and congress was held in a hybrid mode (onsite in Olsztyn near Częstochowa and remotely). The organizers of these … Read More

Generative Artificial Intelligence: the end or the beginning of better student creativity?

During the Didactic Conference at the Poznań University of Economics and Business, employees of the Department of Information Systems presented research results on the possibilities and limitations of generating texts using tools based on generative artificial intelligence, analyzing both the advantages and potential threats. The research was conducted based on the analysis of texts generated by ChatGPT as part of student essays.

Colloquium at Tufts University

The beginning of the academic year in the United States coincided with a speech by Dr. Włodzimierz Lewoniewski at Tufts University. The colloquium discussed issues related to the use of artificial intelligence and large open data sets to automate the process of assessing the quality of Wikipedia articles and its information sources in various language versions.